Data Champions Search

Junaid Bhatti

Research Development and Innovation Manager

Department of Psychiatry

Areas Of Expertise:

SQL, Data Management Plans, Data collection, Database design, Data architecture, Sensitive data, Research data ethics, Data protection and research, Discipline-specific repositories, Data sharing, Data archiving, Open data, Surveys, Imaging, Textual data, REDCap, Socal media and digital communications, Video editing, Illustration, Website development

Contact Information

jb898@medschl.cam.ac.uk

Biography

I’ve been working in the Department of Psychiatry for almost a decade now. I specialise in improving process and workflow and in research data management. I also work in branding, digital recruitment, website design and administration, social media management, and data architecture. I am particularly good at thinking of new and creative solutions to emerging problems. I am currently working on ways to govern and organise the many research projects within my department and in the School of Clinical Medicine, and on creating ways to share research and imaging data (MRI, PET etc) openly.

Mark Fernandes

Bioinformatics Training Developer

Cancer Research UK Cambridge Institute

Areas Of Expertise:

File sharing systems, Big data, Discipline-specific repositories, Repositories (general), Licensing, Copyright, Sensitive data, Code sharing, Bioinformatics, RDM training, Coding, Python, R language, SQL, Git, Database design, Data storage, Workshop delivery, Social media and digital communications, Video editing, Website development

Contact Information

mark.fernandes@cruk.cam.ac.uk

@MAFatCRUK

My LinkedIn Profile

Biography

I have over 30 years experience of Scientific Computing. I have worked on Image analysis of Light Microscopy images, Scientific IT Support (13 years), Data-driven web applications of mathematical models and Bioinformatics Training at the Institute of Food Research (Now the Quadram Institute). I have been involved in an EU Framework Database Workshop. I strive to include good data-handling and reproducibility practices into all training materials.

Qi Wang, PhD

Bioinformatician

Department of Plant Sciences

Areas Of Expertise:

Big data, Data analysis, Bioinformatics, Coding, Python, R language, SQL, Git, Data visualisation, Data mining, Machine learning, Statistical analysis, Experimental design, Data storage, Discipline-specific repositories, Data sharing, Code sharing, Writing/publishing data papers, Workshop delivery

Contact Information

qw254@cam.ac.uk

ORCiD:

0000-0002-6420-1720

Biography

Qi received her PhD at the University of California, Los Angeles, where she developed computational methods to study alternative splicing and the evolution of HIV. Later she joined the UCLA Division of Dermatology to help identify the resistance mechanisms of targeted cancer therapies using computational tools.

In 2011 she was awarded the Humboldt Research Fellowship to work in the Division of Theoretical Bioinformatics, and later the Division of Applied Bioinformatics, at the German Cancer Research Centre. There she worked on diverse bioinformatics projects with NGS data, such as studying genome-wide epigenetic regulation of cell differentiation, developing sequencing protocols and detecting somatic mutations from whole-genome sequencing data, as well as data integration and predictive modelling.

Currently, she provides bioinformatics training and support to PhD students and postdoctoral researchers in the lab of Professor Beverley Glover.

Tirtharaj Dash

Research Associate

Areas Of Expertise:

Python, Git, SQL, Matlab, Other programming languages, C/C++/C# language, Machine learning, Statistical analysis, Research data ethics, General repositories, Data sharing, Code sharing, Open data, FAIR Data, Writing/publishing data papers, Cheminformatics, Bioinformatics, Textual data

Contact Information

td522@cam.ac.uk

Website

ORCiD:

0000-0001-5965-8286

Biography

I am a Research Associate at the University of Cambridge, UK. I am also a Postdoctoral Affiliate of Trinity College, Cambridge. I am currently working on several exciting research problems concerning codon usage, optimality and, in general, knowledge discovery from large-scale genomic data. I am focusing on developing novel ML approaches, such as Neuro-Symbolic Models and Deep Neural Networks, to learn from genomic sequences. For more details, please visit my homepage, which is usually updated often: https://tirtharajdash.github.io/

Winnie Lei

PhD Student

Areas Of Expertise:

Python, R language, SQL, Data visualisation, Machine learning, Statistical analysis, Data sharing, Open data, Imaging, Bioinformatics

Contact Information

ORCiD:

Biography

I am a 2nd-year PhD student in computational biology. Currently, I am developing machine learning applications in studying disease mechanisms using omics integration and analysis at the Department of Surgery and the Milner Therapeutic Institute.

Junaid Bhatti

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Biography

Mark Fernandes

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Biography

Qi Wang, PhD

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Biography

Tirtharaj Dash

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Winnie Lei

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